CLARA identifies four functions: Data Space Generator, Truth Data Generator, Coefficient Generator, and Reconstructor. Together these four functions standardize the solution to the LAR problem. This ICD defines the logical interfaces of the four functions. This document specifies the CLARA interfaces of the Data Space Generator, Truth Data Generator, Coefficient Generator, and Reconstructor functions. The weapon and delivery platform developers define the details of each function. The Data Space Generator selects a representative set of discrete release conditions, (such as altitude, wind, speed, and release flight path angle) from a continuum of release-condition possibilities. For each set of release conditions, the Data Space Generator defines a corresponding grid of target points. The subset from the multi-dimensional space of discrete release conditions, along with their corresponding grid of target points, wind constraints, and impact angle constraints serve as the input to the Truth Data Generator. The Truth Data Generator uses the Data Space Generator output to calculate the achieved impact parameters (velocity, angles, and miss distance). The Truth Database stores the release conditions and the achieved impact parameters for each target point. The Truth Data Generator generates impact data sets for the Coefficient Generator. The Truth Data Generator uses a model of the weapon system that predicts weapon delivery performance to a predefined accuracy. The weapon model may use Six-Degrees-Of-Freedom (6DOF) or another mathematical representation that meets the objective for the weapon system LAR. The Coefficient Generator generates coefficients for a mathematical fitting model. This mathematical fitting model is commonly referred to as the LAR Algorithm. The output of the Reconstructor is an approximation of the original weapon footprint data based on flight and environment conditions. The Mission Planning, Trainer Systems, and weapon delivery aircraft use this approximation.